Job Description

n

We are implementing a contemporary data and analytics platform to strengthen data quality, governance, automation, and insight generation across our insurance and broader enterprise reporting functions. We operate in a regulated, high-sensitivity workplace and are building sustainable internal capability to operate and extend our data solutions over time.

n

This is a hands-on technical role contributing directly to our Databricks platform implementation. You will work alongside engineering, architecture, and data governance colleagues, collaborating across actuarial, IT, security, and implementation partners.

n

The Responsibilities

n

n
Contribute to day-to-day technical delivery across actuarial, business, IT, and vendor stakeholders.
n
Build and maintain Databricks pipelines, notebooks, Unity Catalog configurations, orchestration workflows, and performance optimisations.
n
Support migration of priority data assets, processing logic, and analytics code into Databricks.
n
Develop reusable patterns that support maintainability, governance, auditability, and performance.
n
Apply governance practices: version control, code review, CI/CD, access control, data quality checks, and documentation standards.
n




Adhere to and contribute to standards for open source, libraries, and third-party components including security and licensing compliance.
n
Participate in technical reviews of key artefacts; support management of technical debt and BAU readiness.
n
Contribute to knowledge sharing and capability building to reduce reliance on external vendors.
n

n

The Requirements

n

n
Solid Databricks / Spark delivery in production: pipeline build, orchestration, performance tuning, and operationalisation.
n
Exposure to data governance practices: RBAC, audit logging, lineage, data quality gates, and change control.
n
Experience working in a regulated or high-sensitivity data workplace with strong security discipline.
n
Ability to collaborate effectively in co-delivery models with vendors and internal teams.
n
Strong SQL and Python (including PySpark); solid software engineering discipline including Git, PR/code review, and CI/CD.
n

n

To be considered for this position, you must have real world working experience in Databricks - only those who have the same will be considered.

n

NB: This position requires you to be an Australian Citizen & living in Sydney

n
J-18808-Ljbffr

📌 Data Engineer Databricks New South Wales
🏢 Precision Sourcing
📍 New South Wales